DataAnnotation is seeking a Senior Data Scientist - AI Trainer to support the training and evaluation of AI models focused on quantitative reasoning. This fully remote, hourly contract role involves reviewing AI-generated quantitative work and creating new quantitative problems for training and benchmarking.

Role Summary

In this position, you will evaluate AI outputs that involve statistical analysis, predictive modeling, scientific reasoning, and data-driven insights. You will also design and solve quantitative questions used to train and benchmark AI systems across multiple domains, while contributing clear technical explanations and well-documented analytical code.

Responsibilities

Assess AI-generated quantitative work for technical accuracy and real-world validity, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Develop and solve quantitative problems for training and benchmarking AI systems, such as forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well-documented analytical code.
Deliver feedback that informs the next iteration of AI models built to reason with quantitative data and analytics.

Requirements

3+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a closely related field.
Some coding experience, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design, including examples such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
Strong English proficiency (native or bilingual) with demonstrated writing skills.
A bachelor’s degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a Master’s or PhD is a plus.
Relevant credentials are a plus, for example Kaggle Competition ranking and/or AWS/GCP ML certifications (or equivalent evidence of expertise).

Contract Details

Job type: contract
Location: Ohio (remote)
Compensation: USD 50 to 100 per hour (hourly pay)
Schedule: flexible schedule, with project-based selection

Tools and Technologies

PayPal
AWS
GCP

Benefits

Fully remote: eligible applicants can work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects to take on and when you work, using your own computer.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: contribute to AI systems designed to reason about data and analytics.

Additional Notes

Payment is made via PayPal.
DataAnnotation states it will never ask for any money from candidates.
This role is available only to candidates located in the US, Canada, UK, Ireland, Australia, and New Zealand.

Senior Data Scientist - AI Trainer

Job Description